Abstract: A driving monitoring device (100) decides an applicable collision pattern that applies to a collision pattern of a case where a vehicle (200) collides with a mobile object, based on a velocity vector of the vehicle, a velocity vector of the mobile object, and so on. Subsequently, the driving monitoring device calculates a time until collision, which is a time taken until the vehicle collides with the mobile object, in the applicable collision pattern. Then, the driving monitoring device calculates a danger level of an accident in which the vehicle collides with the mobile object, based on the applicable collision pattern and the time until collision.

Abstract: In a data synchronization device (20), a first estimation unit (51) estimates as a first data range, a data range in which a vehicle is turning right or left, in moving image data (33). A second estimation unit (52) estimates as a second data range, a data range in which the vehicle is turning right or left, in acceleration data (34). A synchronization unit (53) performs a time-synchronization between the moving image data (33) and the acceleration data (34) based on a time range corresponding to the first data range estimated by the first estimation unit (51) and a time range corresponding to the second data range estimated by the second estimation unit (52).

Abstract: A failure detection apparatus (10) acquires, as target data, sensor data output in a past reference period by a sensor (31), such as a millimeter wave radar or LiDAR (Light Detection And Ranging), mounted on a moving body (100). The failure detection apparatus (10) determines whether detected data indicating a characteristic of a detected object indicated by normal data, which is sensor data output when the sensor (31) is normal, is included in the acquired detected data in the past reference period. In this way, the failure detection apparatus (10) determines whether a failure has occurred in the sensor (31).

Abstract: A pharmaceutical composition contains a human anti-IL-33 monoclonal antibody suitable for administration to a subject. The pharmaceutical composition contains a human anti-IL-33 monoclonal antibody as an active ingredient. The pharmaceutical composition is substantially free of sodium chloride or contains less than 30 mM of sodium chloride. Also provided is a freeze-dried form of the pharmaceutical composition.

Abstract: A detected data acquisition unit (21) acquires detected data outputted during a past reference period by a sensor (31) mounted on a moving body (100). A peripheral data acquisition unit (22) acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (100). A failure determination unit (23) determines whether or not there is a failure in the sensor (31) based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Abstract: A failure detection apparatus (10) acquires, as target data, sensor data output in a past reference period by a sensor (31), such as a millimeter wave radar or LiDAR (Light Detection And Ranging), mounted on a moving body (100). The failure detection apparatus (10) determines whether detected data indicating a characteristic of a detected object indicated by normal data, which is sensor data output when the sensor (31) is normal, is included in the acquired detected data in the past reference period. In this way, the failure detection apparatus (10) determines whether a failure has occurred in the sensor (31).

Abstract: An information processing device is mounted on a movable body. A calculation unit acquires sensor data in which detection points are indicated, the detection points being acquired by scanning a periphery of a sensor by the sensor, the sensor being located at the periphery of the movable body, analyzes the acquired sensor data, and calculates a distribution range of the detection points. Based on the distribution range of the detection points calculated by the calculation unit, a removal unit extracts a detection point for the movable body from among the detection points indicated in the sensor data, and removes the extracted detection point for the movable body from the sensor data.

Abstract: In a data synchronization device (20), a first estimation unit (51) estimates as a first data range, a data range in which a vehicle is turning right or left, in moving image data (33). A second estimation unit (52) estimates as a second data range, a data range in which the vehicle is turning right or left, in acceleration data (34). A synchronization unit (53) performs a time-synchronization between the moving image data (33) and the acceleration data (34) based on a time range corresponding to the first data range estimated by the first estimation unit (51) and a time range corresponding to the second data range estimated by the second estimation unit (52).

Abstract: An action selection device (10) includes an action selection unit (22). The action selection unit (22) acquires from a memory (30), an action list (31) in which a requirement recognition area is associated with each action of a plurality of actions, the requirement recognition area indicating an area for which recognition by a sensor is required. The action selection unit (22) acquires from a peripheral recognition device (53), a recognition area (53a) recognized by sensors (53-1) that the peripheral recognition device (53) has. The action selection unit (22) selects from the action list (31), an action associated with the requirement recognition area included in the recognition area (53a).

Abstract: A driving monitoring device (100) decides an applicable collision pattern that applies to a collision pattern of a case where a vehicle (200) collides with a mobile object, based on a velocity vector of the vehicle, a velocity vector of the mobile object, and so on. Subsequently, the driving monitoring device calculates a time until collision, which is a time taken until the vehicle collides with the mobile object, in the applicable collision pattern. Then, the driving monitoring device calculates a danger level of an accident in which the vehicle collides with the mobile object, based on the applicable collision pattern and the time until collision.

Abstract: A detected data acquisition unit (21) acquires detected data outputted during a past reference period by a sensor (31) mounted on a moving body (100). A peripheral data acquisition unit (22) acquires peripheral data detected by a peripheral body existing on peripheral of the moving body (100). A failure determination unit (23) determines whether or not there is a failure in the sensor (31) based on whether or not the detected data includes detected data that identifies a detected content of which difference from a peripheral content identified from the peripheral data is within a reference scope.

Abstract: A vehicle power management device managing: a vehicle path information generation device generating a vehicle travel path; a drive assembly consuming power to drive the vehicle; a power generator; an electrical load device group; a high-voltage storage device storing power for driving the vehicle; a low-voltage storage device storing power for operating the electrical load device group; and a DC voltage conversion and output device converting voltage of power stored in the high-voltage storage device to generate DC voltage for operating the electrical load device group, and outputting the DC voltage, and controlling electric energy flow in the vehicle. The vehicle power management device controls output of the DC voltage conversion and output device so that a filling rate of the low-voltage storage device is between lower and upper limits of a range in which a charge and discharge speed is equal to or higher than a predetermined value.

Abstract: A technique which comprehensively optimize passengers' convenience and a power consumption amount. An operation schedule evaluation apparatus has a passenger flow calculator and a power consumption amount calculator. The passenger flow calculator creates passenger flow information related to a passenger flow generated by transportation of a train, based on operation schedule information of each train and passenger information related to an entry and an exit of a passenger at a station. The power consumption amount calculator calculates the number of passengers or a car occupancy of each train based on the passenger flow information created by the passenger flow calculator, the operation schedule information and car information of each train, and calculates a power consumption amount of each train per unit time which reflects car weight corresponding to the number of passengers or the car occupancy.

Abstract: An energy management system that achieves minimization of electric power costs and leveling of an electric power demand while securing necessary battery residual quantity. The energy management system includes a charging stand that supplies electric power to an electric vehicle (EV) as an electric power supply part, a reservation information acquisition unit that acquires reservation information on electric power reception of the EV in the charging stand before the EV arrives at the charging stand, a charging plan preparation unit that predicts an electric power demand in the charging stand and prepares a charging plan for the EV based on the reservation information, and a charging controller that controls electric power supply for the EV in the charging stand based on the charging plan.

Abstract: A vehicle power management device managing: a vehicle path information generation device generating a vehicle travel path: a drive assembly consuming power to drive the vehicle; a power generator; an electrical load device group; a high-voltage storage device storing power for driving the vehicle; a low-voltage storage device storing power for operating the electrical load device group; and a DC voltage conversion and output device converting voltage of power stored in the high-voltage storage device to generate DC voltage for operating the electrical load device group, and outputting the DC voltage, and controlling electric energy flow in the vehicle. The vehicle power management device controls output of the DC voltage conversion and output device so that a filling rate of the low-voltage storage device is between lower and upper limits of a range in which a charge and discharge speed is equal to or higher than a predetermined value.

Abstract: A technique which comprehensively optimize passengers' convenience and a power consumption amount. An operation schedule evaluation apparatus has a passenger flow calculator and a power consumption amount calculator. The passenger flow calculator creates passenger flow information related to a passenger flow generated by transportation of a train, based on operation schedule information of each train and passenger information related to an entry and an exit of a passenger at a station. The power consumption amount calculator calculates the number of passengers or a car occupancy of each train based on the passenger flow information created by the passenger flow calculator, the operation schedule information and car information of each train, and calculates a power consumption amount of each train per unit time which reflects car weight corresponding to the number of passengers or the car occupancy.

Abstract: An energy management system that achieves minimization of electric power costs and leveling of an electric power demand while securing necessary battery residual quantity. The energy management system includes a charging stand that supplies electric power to an electric vehicle (EV) as an electric power supply part, a reservation information acquisition unit that acquires reservation information on electric power reception of the EV in the charging stand before the EV arrives at the charging stand, a charging plan preparation unit that predicts an electric power demand in the charging stand and prepares a charging plan for the EV based on the reservation information, and a charging controller that controls electric power supply for the EV in the charging stand based on the charging plan.

Abstract: In the method for preparation of microspheres by in-water drying method, an iterative process is employed, which comprises emulsifying a medicament-containing polymer solution (4) containing an organic solvent in an emulsifying device (1) to form an emulsion; transferring this emulsion into a microsphere storage tank (2); introducing a part of said emulsion to a cross flow filter (3) from the microsphere storage tank; and returning a liquid passing over the cross flow filter to the microsphere storage tank (2). Since a small amount of microsphere is repeatedly produced, this process permits the downsizing and airtight closing of an apparatus therefor, and further makes it possible to freely control the production scale of microsphere.

Abstract: In the method for preparation of microspheres by in-water drying method, an iterative process is employed, which comprises emulsifying a medicament-containing polymer solution (4) containing an organic solvent in an emulsifying device (1) to form an emulsion; transferring this emulsion into a microsphere storage tank (2); introducing a part of said emulsion to a cross flow filter (3) from the microsphere storage tank; and returning a liquid passing over the cross flow filter to the microsphere storage tank (2). Since a small amount of microsphere is repeatedly produced, this process permits the downsizing and airtight closing of an apparatus therefor, and further makes it possible to freely control the production scale of microsphere.

Abstract: A desired value of reactive power flow between a to-be-controlled power system and an adjoining power system is determined according to measured values of the reactive power flow and an effective power flow and desired voltage values of the to-be-controlled power system and of the adjoining power system. Thereafter, a required value of a reactive power of the to-be-controlled power system is calculated according to the desired value of the reactive power flow, the measured values of the reactive power flow and the effective power flow, and the desired voltage value and a measured voltage value in the to-be-controlled power system. Thereafter, a control apparatus having an electric capacity near to the required value of the reactive power is selected from control apparatus arranged in the to-be-controlled power system to make the selected control apparatus adjust a voltage of the to-be-controlled power system.